Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

This study systematically reviewed the randomized controlled trial(RCT) of traditional Chinese medicine(TCM) treatment of post-stroke depression(PSD) and analyzed the clinical study characteristics and outcome indicators, aiming to optimize the design and establish the core outcome set in the future clinical trials of the TCM treatment of PSD. PubMed, Web of Science, Cochrane Library, EMbase, CNKI, VIP, Wanfang, and SinoMed were searched for the relevant RCT published in recent 3 years. The basic characteristics, intervention measures, and outcome indicators of the included RCT were extracted, and the descriptive analysis was carried out. A total of 76 RCTs were eventually included, with the sample size concentrated in 80-100 cases. The most frequent TCM syndromes were liver depression and Qi stagnation(15 times, 31.91%) and phlegm combined with stasis(5 times, 10.63%). The frequency of intervention methods followed a descending trend of TCM decoction(35 times, 46.05%) and TCM decoction + acupuncture(4 times, 5.26%), Chinese patent medicine(3 times, 3.94%), and the intervention mainly lasted for 1 to 3 months(43 times, 60.56%). The adverse reactions of patients were mainly digestive system reaction(150 patients, 39.37%) and nervous system reaction(112 patients, 29.39%). Most of the included studies had unclear risk of bias, involving 84 outcome indicators, which belonged to 8 indicator domains. The RCTs of TCM treatment of PSD showed a variety of problems, such as non-standard TCM syndrome differentiation, inconsistent names of TCM syndrome scores and measurement tools, low quality, unclear risk of bias, neglect of endpoint indicators, unreasonable selection of substitute indicators, lack of differentiation between primary and secondary outcome indicators, non-standard reporting of safety indicators, insufficient attention to economic indicators, and lack of long-term prognosis evaluation. It is suggested that the future research should improve the quality of methodology and build a standardized core outcome set to promote the development of high-quality clinical research in this field.
Humans ; Randomized Controlled Trials as Topic ; Drugs, Chinese Herbal/administration & dosage* ; Stroke/psychology* ; Depression/etiology* ; Treatment Outcome ; Medicine, Chinese Traditional

This study aims to evaluate the efficacy of Chinese medicine injections in treating transient ischemic attack(TIA) based on network Meta-analysis. Randomized controlled trial(RCT) about Chinese medicine injections in treating TIA were retrieved from PubMed, Web of Science, Cochrane Library, EMbase, CNKI, VIP, Wanfang, and SinoMed with the time interval from inception to March 1, 2024. The methodological quality of the included articles was assessed by ROB 2.0, and the GRADE system was employed to evaluate the quality of evidence. The gemtc package of R 4.1.2 was used to perform the network Meta-analysis. Finally, 63 RCTs with a total sample size of 5 750 cases were included, involving 11 Chinese medicine injections(Shuxuetong Injection, Danhong Injection, Shuxuening Injection, Ginkgo Damo Injection, Shenxiong Glucose Injection, Ligustrazine Injection, Salviae Miltiorrhizae and Ligustrazine Hydrochloride Injection, Salvianolic Acids for Injection, Dengzhan Xixin Injection, Guhong Injection, and Xueshuantong Injection). All patients received conventional western medicine treatment, and the experimental group was additionally treated with Chinese medicine injection. Network Meta-analysis yielded the following results.(1) In terms of improving the clinical total response rate, 11 Chinese medicine injections combined with conventional western medicine outperformed conventional western medicine alone, and Dengzhan Xixin Injection + conventional western medicine had the best effect.(2) In terms of reducing plasma viscosity, 7 Chinese medicine injections combined with conventional western medicine outperformed conventional western medicine alone, and Shenxiong Glucose Injection + conventional western medicine had the best effect.(3) In terms of reducing whole blood high shear viscosity, 6 Chinese medicine injections combined with conventional western medicine outperformed conventional western medicine alone, and Guhong Injection + conventional western medicine had the best effect.(4) In terms of reducing whole blood low shear viscosity, 6 Chinese medicine injections combined with conventional western medicine outperformed conventional western medicine alone, and Shuxuening Injection + conventional western medicine had the best effect.(5) In terms of reducing fibrinogen, 9 Chinese medicine injections combined with conventional western medicine outperformed conventional western medicine alone, and Ginkgo Damo Injection + conventional western medicine had the best effect.(6) In terms of increasing the average blood flow velocity, 3 Chinese medicine injections combined with conventional western medicine outperformed conventional western medicine alone, and Shuxuening Injection + conventional western medicine had the best effect. In summary, compared with conventional western medicine alone, Chinese medicine injections combined with conventional western medicine were effective in improving the clinical total response rate and the average blood flow velocity, as well as reducing plasma viscosity, whole blood high shear viscosity, whole blood low shear viscosity, and fibrinogen. However, due to the limited quality and quantity of the included articles, the above conclusions need to be verified by more high-quality, multi-center, and large-sample RCT.
Humans ; Drugs, Chinese Herbal/administration & dosage* ; Injections ; Ischemic Attack, Transient/drug therapy* ; Randomized Controlled Trials as Topic ; Treatment Outcome

Hepatocellular carcinoma (HCC) expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming. Aldolase A (ALDOA) plays a prominent role in glycolysis; however, little is known about its role in HCC development. In the present study, we aim to explore how ALDOA is involved in HCC proliferation. HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout, which is consistent with ALDOA overexpression encouraging HCC proliferation. Mechanistically, ALDOA knockout partially limits the glycolytic flux in HCC cells. Meanwhile, ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase; ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function. A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun, and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells. In HCC patients, the expression level of ALDOA was correlated with the phosphorylation level of c-Jun (Thr93) and poor prognosis. Remarkably, hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models, and the knockdown of A ldoa strikingly decreased HCC development in vivo. Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription, opening additional avenues for anti-cancer therapies.